Wärtsilä is an innovative technology company known for being a forerunner in the Marine and Energy markets. Every day, we – Wärtsilians – put our hearts and minds into turning Wärtsilä’s purpose of enabling sustainable societies with smart technology, and our Smart Marine and Energy visions into reality. Our ultimate aim is to provide increased value to both our customers and society. New, game-changing ideas and continuous improvement have been part of our DNA since 1834. Together, we can create new business opportunities and more sustainable future that we can all be proud of.
We want to transition the world towards a cleaner future. By pushing the boundaries of engineering and technology, we can make it work. We are always on the lookout for future-oriented talent – want to join the ride?
Wärtsilä IM Data and Analytics is looking for a Trainee to join the Advanced Analytics service, and our team of data scientists and data analysts. Our service provides consultancy and capabilities to analyse, develop and run Machine Learning based solutions. We utilise DevOps practices and cloud computing, which allow us rapid delivery with quality, reusability and automation.
The Data and Analytics team is recognised as a catalyst for Wärtsilä in the journey to become a data driven enterprise. The team is responsible for the total lifecycle management of data warehousing systems, advanced analytics.
This position is located in Helsinki, Finland. The position is temporary trainee position for 6 months.
Responsibilities
– Participate in development and operation of advanced analytics and ML based solutions
– Build data pipelines, data stores and APIs
– Requirements specifications together with the team and business stakeholders
– Manage the documentation in own responsibility area
Requirements
– Knowledge of software engineering and programming (preferably Python)
– Knowledge of DevOps methods & tools (e.g. git, CI/CD pipelines)
– Knowledge of cloud computing services, such as AWS and Azure (e.g. Docker, Kubernetes, Serverless)
– knowledge of data modelling and database technologies (Relational DB and NoSQL)
– Knowledge of applied analytics and machine learning methods
– Customer orientation
– Fluent in marketing and selling ideas and solutions to the stakeholders
– Very good in documentation and presentation skills
– Good collaboration and change management skills
– Proactive, development-minded, independent and goal-focused attitude to work
– Fluent written and spoken English
We offer
– Possibility to take part in building state-of-the-art Machine Leaning solutions using the latest technologies.
– Work together with a great team of highly skilled professionals.
– Work on meaningful tasks and solving real world business problems with real data.
– Possibility to get a thesis topic.
Please apply by 16th February 2020.
Contact person for more information:
Tal Katzav, Service Manager, Advanced Analytics
Mobile phone: +358 40 5891313
E-mail: tal.katzav@wartsila.com